基于演化博弈的高效mimo通信容量优化 等

Coritive-relaying networks have great ptential for deployment in nextgenerationwireless communication networks. However, a cooperative-relayingnetwork using two-dimensionalmultiple-input- multiple output technology canfurther enhance the network performance. In this article, we propose a gametheoretical framework for mobile two dimensional multiple input multiple outputcommunication networks to achieve optimal relay selection and cooperative control.A source node, relay, and destination node can make service-selection decisionsdynamically in a two-level network, based on the mobile-channel satisfactionparameters (e.g. spatial-temporal correlation and relay survivability). To model thisdynamic interactive decision problem, we propose a hierarchical dynamic gameframework. At the outer level, we formulate an evolutionary game to model and analyze the process of adaptive selection of relays for maximizing the multiple-input-multiple-output capacity by relay selection and power allocation. At the inner level, by aligning relays, we formulate an evolutionary game to model a self-organizing network structure for relays, to increase the capacity. A closed-loopevolutionary game equilibrium is considered to solve the dynamic game. Numericalresults show thatthe proposed algorithm can effectively improve the quality of service for mobile two-dimensional multiple-input-multiple output communication networks.